Um módulo de protocolo para aplicações de IoT em saúde

Abstract

The Internet of Things is growing and every day more devices are connected, generating massive amounts of data. In some areas, this large amount of data is not always used to discover additional information. This is also a reality in healthcare where it is already possible to generate large amounts of data from devices that use open protocols or open-source hardware sensors such as environment sensors or human body sensors. This dissertation aims to propose an intelligence module that can, through data from IoT sensors in health, help the health team to obtain useful information, thus bringing direct benefits to the patient's health and speed of care hospital and cost reduction. Here, an Intelligence Module and a Verification Module were implemented, indicating possible benefits of using this architecture in monitoring patients with COVID-19.